Christopher Agia

Orcid: 0000-0002-1208-2539

According to our database1, Christopher Agia authored at least 19 papers between 2020 and 2024.

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Bibliography

2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress.
CoRR, 2024

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling.
CoRR, 2024

Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics.
CoRR, 2024

Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction.
CoRR, 2024

Adapting a Foundation Model for Space-based Tasks.
CoRR, 2024

Real-Time Anomaly Detection and Reactive Planning with Large Language Models.
CoRR, 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
CoRR, 2024

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Text2Motion: from natural language instructions to feasible plans.
Auton. Robots, December, 2023

Semantic anomaly detection with large language models.
Auton. Robots, December, 2023

Lightweight Semantic-Aided Localization With Spinning LiDAR Sensor.
IEEE Trans. Intell. Veh., January, 2023

STAP: Sequencing Task-Agnostic Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
TAPS: Task-Agnostic Policy Sequencing.
CoRR, 2022

2021
A Sim-to-Real Pipeline for Deep Reinforcement Learning for Autonomous Robot Navigation in Cluttered Rough Terrain.
IEEE Robotics Autom. Lett., 2021

Latent Attention Augmentation for Robust Autonomous Driving Policies.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Taskography: Evaluating robot task planning over large 3D scene graphs.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Depth Prediction for Monocular Direct Visual Odometry.
Proceedings of the 17th Conference on Computer and Robot Vision, 2020

S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds.
Proceedings of the 4th Conference on Robot Learning, 2020


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